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  Published Paper Details:

  Paper Title

BLOOD GLUCOSE CONTROL USING FOPID CONTROLLER BASED ON NEURO FUZZY SYSTEM

  Authors

  S. PRAVEENA,  K. ANITHA,  V. HEMASRI,  M. SABITHA

  Keywords

Diabetes, Glucose, FOPID Controller, Neuro-fuzzy.

  Abstract


The amount of sugar found in the blood is known as blood glucose. The main source of glucose is food. The blood cells carry the glucose throughout the body for energy. If the level of glucose goes higher than the normal level it tends to diabetes disease occurs in our body. The normal blood glucose level is 70-110mg/dl. Type 2 diabetes is a chronic condition in which your body becomes resistant to insulin or doesn't produce enough insulin to regulate blood sugar levels properly. Insulin is a hormone produced by the pancreas that helps transport glucose from the bloodstream into your cells to be used for energy. When you have type 2 diabetes, your cells become resistant to insulin, which causes sugar to build up in your bloodstream and can lead to a variety of health problems. Regulating the blood glucose level in the body within the limit is a difficult task. To overcome these issues, In this project, we proposed a Neuro-Fuzzy Logic Algorithm used to regulate the system model. Finally, this result is compared with existing conventional PID, FOPID, and Fuzzy PID controllers which use the PSO algorithm. There are several risk factors for developing type 2 diabetes, including being overweight or obese, having a sedentary lifestyle, having a family history of diabetes, and being over the age of 45. Symptoms of type 2 diabetes can include increased thirst, frequent urination, blurred vision, fatigue, and slow healing of wounds.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2305055

  Paper ID - 236091

  Page Number(s) - a376-a381

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  S. PRAVEENA,  K. ANITHA,  V. HEMASRI,  M. SABITHA,   "BLOOD GLUCOSE CONTROL USING FOPID CONTROLLER BASED ON NEURO FUZZY SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.a376-a381, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305055.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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